During my master thesis I partly worked on OctNets, octree-bases convolutional neural networks for efficient learning in 3D. Among others, I implemented convolutional batch normalization for OctNets. This article briefly discusses the implementation, which will be available on GitHub.
Torch is a framework for scientific computing in LUA. However, it has mostly been used for deep learning research as it provides efficient and comfortable C/CUDA implementations of a wide range of (convolutional and/or recurrent) neural network components. In this article, I want to provide a code template allowing to easily extend
torch.nn by custom modules implemented in C and/or CUDA without knowledge of Torch’s core.
Currently, both OpenCV 2 and OpenCV 3 seem to have some minor issues with CUDA 9. However, CUDA 9 is required for the latest generation of NVidia graphics cards. In this article, based on this StackOverflow question, I want to discuss a very simple patch to get OpenCV 2 running with CUDA 9.
Caffe  is a popular deep learning framework used within the computer vision community. The first challenge when working with Caffe (at least for me) is setting up CUDA on Ubuntu. In this article, I want to share my experience on how to install CUDA 7 on Ubuntu 14.04.